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New PLuM Architecture Enhances Jet Taggers with Multimodal Physics Data

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new multimodal architecture called PLuM that combines particle constituents with Lund plane splittings for improved jet tagging in high-energy physics. This approach processes both types of data jointly using a unified transformer, allowing for cross-attention to determine the added value of structured QCD information. The PLuM model demonstrated significant gains in tagging top-quarks and H to bb decays, suggesting that explicit hierarchical information remains complementary to raw particle representations for certain topologies. AI

IMPACT This research suggests that incorporating physics-specific structured data can enhance the performance of transformer-based models in scientific applications.

RANK_REASON The cluster contains a research paper detailing a new multimodal architecture for jet tagging in high-energy physics.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Loukas Gouskos, Benedikt Maier ·

    Particle-Lund Multimodality in Jet Taggers

    arXiv:2605.26821v1 Announce Type: cross Abstract: The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by learning directly from raw particle constituents and…

  2. arXiv cs.LG TIER_1 English(EN) · Benedikt Maier ·

    Particle-Lund Multimodality in Jet Taggers

    The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by learning directly from raw particle constituents and their pairwise relations. We investigate whether …

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